nicklauskim's repositories
nba-shooting-analytics
Data science project exploring the various capabilities of Python libraries such as Numpy, Pandas, Matplotlib, and Seaborn. In the end, I use advanced shooting metrics to analyze the shooting tendencies and similarities of NBA players in the 2019-20 regular season and apply some basic unsupervised learning algorithms to find the most similar players.
2020-Election-Tweets
Sentiment Analysis Project on Tweets Related to the 2020 Presidential Election
tabular-synthetic-data-privacy-auditing
Evaluating the privacy of tabular synthetic data generators using an adversarial toolbox, specifically the TAPAS toolbox as introduced in https://arxiv.org/abs/2211.06550. This code is used to produce the results presented in my master's thesis.
bayesian-mortality-prediction
Bayesian Mortality Prediction with Sensitivity Analysis
cookie-price-analysis
Time-Series Analysis course project
Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
hyperparameter-selection-experimental-design
Hyperparameter Tuning for Gradient Boosting Frameworks
machine-learning-methods
Various implementations of some common machine learning algorithms in Python, including models from scratch and applied problems such as NLP tasks.
NLP-Sparse-Matrix-Problem
Dimensionality Reduction in Binary Text Classification Using Regularized Logistic Regression
gibbs-sampler-multivariate
A Gibbs sampler implementation for a general multivariate normal distribution, written in Python
hello-world
First repository, from tutorial
nicklauskim
Config files for my GitHub profile.
nicklauskim.github.io
My professional website, displaying my projects and other work in statistics and data science.
old-website
🐟 Nicklaus Kim's professional and academic website using Github Pages and Bay, a simple theme for Jekyll.
Statistical-Learning-Text-Classification
Machine Learning Methods for Text Classification in Python
stats202a
Baseball Data Analysis in R and C